Literature DB >> 33925253

Risk Minimization of Hemolytic Disease of the Fetus and Newborn Using Droplet Digital PCR Method for Accurate Fetal Genotype Assessment of RHD, KEL, and RHCE from Cell-Free Fetal DNA of Maternal Plasma.

Radek Vodicka1, Jana Bohmova1, Iva Holuskova2, Eva Krejcirikova1, Martin Prochazka1, Radek Vrtel1.   

Abstract

The molecular pathology of hemolytic disease of the fetus and newborn (HDFN) is determined by different RHD, RHCE, and KEL genotypes and by blood group incompatibility between the mother and fetus that is caused by erythrocyte antigen presence/absence on the cell surface. In the Czech Republic, clinically significant antierythrocyte alloantibodies include anti-D, anti-K, anti C/c, and anti-E. Deletion of the RHD gene and then three single nucleotide polymorphisms in the RHCE and KEL genes (rs676785, rs609320, and rs8176058) are the most common. The aim of this study is to develop effective and precise monitoring of fetal genotypes from maternal plasma of these polymorphisms using droplet digital (dd)PCR. Fifty-three plasma DNA samples (from 10 to 18 weeks of gestation) were analyzed (10 RHD, 33 RHCE, and 10 KEL). The ddPCR methodology was validated on the basis of the already elaborated and established method of minisequencing and real-time PCR and with newborn phenotype confirmation. The results of ddPCR were in 100% agreement with minisequencing and real-time PCR and also with newborn phenotype. ddPCR can fully replace the reliable but more time-consuming method of minisequencing and real-time PCR RHD examination. Accurate and rapid noninvasive fetal genotyping minimizes the possibility of HDFN developing.

Entities:  

Keywords:  KEL; RHCE; RHD; blood group incompatibility; cell-free fetal DNA; droplet digital PCR; hemolytic disease of fetus and newborn; noninvasive fetal genotyping

Year:  2021        PMID: 33925253     DOI: 10.3390/diagnostics11050803

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  34 in total

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Journal:  Transfusion       Date:  2006-11       Impact factor: 3.157

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Authors:  Yasmine Ouzegdouh Mammasse; Christophe Chenet; Damien Drubay; Corinne Martageix; Jean-Pierre Cartron; William Vainchenker; Rachel Petermann
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Journal:  Prenat Diagn       Date:  2014-02-04       Impact factor: 3.050

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Journal:  Clin Chem Lab Med       Date:  2018-04-25       Impact factor: 3.694

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Journal:  PLoS One       Date:  2015-11-12       Impact factor: 3.240

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